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When players make sequential decisions that are unobservable to one another, their behavior can nonetheless be influenced by knowing who moves first. This sequential structure, often referred to as "virtual observability," suggests that…

General Economics · Economics 2025-12-02 C. Monica Capra , Charles A. Holt , Po-Hsuan Lin

It is shown that the toy Turing Tumble, suitably extended with an infinitely long game board and unlimited supply of pieces, is Turing-Complete. This is achieved via direct simulation of a Turing machine. Unlike previously informally…

Formal Languages and Automata Theory · Computer Science 2021-10-19 Lenny Pitt

The satisfiability problem for SPARQL patterns is undecidable in general, since the expressive power of SPARQL 1.0 is comparable with that of the relational algebra. The goal of this paper is to delineate the boundary of decidability of…

Databases · Computer Science 2016-06-03 Xiaowang Zhang , Jan Van den Bussche , François Picalausa

Kinetic self-avoiding trails are introduced and used to generate a substrate of randomly quenched flow vectors. Sandpile model is studied on such a substrate with asymmetric toppling matrices where the precise balance between the net…

Statistical Mechanics · Physics 2009-11-11 R. Karmakar , S. S. Manna

While machine learning has advanced through massive parallelization, we identify a critical blind spot: some problems are fundamentally sequential. These "inherently serial" problems-from mathematical reasoning to physical simulations to…

Machine Learning · Computer Science 2026-04-30 Yuxi Liu , Konpat Preechakul , Kananart Kuwaranancharoen , Yutong Bai

We provide a comprehensive view on the role of Abelian symmetry and stochasticity in the universality class of directed sandpile models, in context of the underlying spatial correlations of metastable patterns and scars. It is argued that…

Statistical Mechanics · Physics 2008-11-18 Hang-Hyun Jo , Meesoon Ha

Sand Pile Models are discrete dynamical systems emphasizing the phenomenon of Self-Organized Criticality. From a configuration composed of a finite number of stacked grains, we apply on every possible positions (in parallel) two grain…

Discrete Mathematics · Computer Science 2012-07-04 Kevin Perrot , Thi Ha Duong Phan , Trung Van Pham

Leader Election is an important primitive for programmable matter, since it is often an intermediate step for the solution of more complex problems. Although the leader election problem itself is well studied even in the specific context of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-19 Jérémie Chalopin , Shantanu Das , Maria Kokkou

We show that a fixed set of woven defect lines in a nematic liquid crystal supports a set of non-singular topological states which can be mapped on to recurrent stable configurations in the Abelian sandpile model or chip-firing game. The…

Soft Condensed Matter · Physics 2018-12-05 Thomas Machon , Gareth P. Alexander

We study a simple sandpile model of active-absorbing state transitions in which a particle can hop out of a site only if the number of particles at that site is above a certain threshold. We show that the active phase has product measure…

Statistical Mechanics · Physics 2009-11-10 Kavita Jain

Topological transitivity is a fundamental notion in topological dynamics and is widely regarded as a basic indicator of global dynamical complexity. For general cellular automata, topological transitivity is known to be undecidable. By…

Formal Languages and Automata Theory · Computer Science 2026-01-26 Niccolò Castronuovo , Alberto Dennunzio , Luciano Margara

A sandpile is a cellular automaton on a graph that evolves by the following toppling rule: if the number of grains at a vertex is at least its valency, then this vertex sends one grain to each of its neighbors. In the study of pattern…

Combinatorics · Mathematics 2023-12-13 Nikita Kalinin , Mikhail Shkolnikov

We introduce an external control to reduce the size of avalanches in some sandpile models exhibiting self organized criticality. This rather intuitive approach seems to be missing in the vast literature on such systems. The control action,…

Computational Physics · Physics 2015-06-16 Daniel O. Cajueiro , Roberto F. S. Andrade

The stochastic sandpile model (SSM) is a generalisation of the standard Abelian sandpile model (ASM), in which topplings of unstable vertices are made random. When unstable, a vertex sends one grain to each of its neighbours independently…

Probability · Mathematics 2024-09-13 Thomas Selig

The problem of morphogenesis and Turing instability are revisited from the point of view of dimensionality effects. First the linear analysis of a generic Turing model is elaborated to the case of multiple stationary states, which may lead…

Soft Condensed Matter · Physics 2009-11-10 Teemu Leppanen , Mikko Karttunen , Kimmo Kaski , Rafael A. Barrio

We study the abelian sandpile model on a random binary tree. Using a transfer matrix approach introduced by Dhar & Majumdar, we prove exponential decay of correlations, and in a small supercritical region (i.e., where the branching process…

Probability · Mathematics 2015-06-04 Frank Redig , Ellen Saada , Wioletta Ruszel

We show that deterministic systems with strong nonlinearities seem to be more appropriate to model sandpiles than stochastic systems or deterministic systems in which discontinuities are the only nonlinearity. In particular, we are able to…

Statistical Mechanics · Physics 2009-11-10 Maria de Sousa Vieira

In this paper we study the abelian sandpile model on the two-dimensional grid with uniform neighborhood, and prove that any family of neighborhoods defined as scalings of a continuous non-flat shape can ultimately perform crossing.

Combinatorics · Mathematics 2017-09-05 Viet-Ha Nguyen , Kevin Perrot

We introduce a natural stochastic extension, called SSP, of the abelian sandpile model(ASM), which shares many mathematical properties with ASM, yet radically differs in its physical behavior, for example in terms of the shape of the steady…

Statistical Mechanics · Physics 2020-01-08 Seungki Kim , Yuntao Wang

Generalised Probabilistic Theories (GPTs) provide a unifying framework encompassing classical theories, quantum theories, as well as hypothetical alternatives. We investigate the problem of extending a system with a finite set of…

Quantum Physics · Physics 2026-03-17 Serge Massar
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